Article citationsMore>>
Hinton, G., Deng, L., Yu, D., Dahl, G., Mohamed, A., Jaitly, N., Senior, A., Vanhoucke, V., Nguyen, P., Sainath, T.N. and Kingsbury, B. (2012) Deep Neural Networks for Acoustic Modeling in Speech Recognition. IEEE Signal Processing Magazine, 29, 82-97.
http://dx.doi.org/10.1109/MSP.2012.2205597
has been cited by the following article:
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TITLE:
Office Information Systems: A Retrospective and a Call to Arms
AUTHORS:
Chandra S. Amaravadi
KEYWORDS:
OIS, Office Information Systems, Office Systems, Office Automation, Workflow, Evolution of Office Systems, Evolution of OIS, Office Procedures, Office Processes, Office Technologies
JOURNAL NAME:
Journal of Software Engineering and Applications,
Vol.7 No.8,
July
25,
2014
ABSTRACT:
Office Information Systems
is a field of computer science concerned with studying offices and developing
technologies to support office workers. The field initiated in 1982 suffered a
gradual demise by 2004. However, many of the themes and issues that motivated
the discipline continue to exist today. Office workers continue to struggle
with routine tasks that do not have adequate IT support and the problem is
worse for mobile employees. In this paper we provide a retrospective on OIS
technologies with the hope of stimulating interest in the discipline and
addressing the needs of office workers worldwide. The evolution of office
technologies and a detailed discussion of past research are provided. The
discussion shows that technology support for office workers is still
inadequate. The paper suggests a technology vision and architecture to motivate
researchers and identifies challenges for future research.
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